| Safe Haskell | None |
|---|---|
| Language | Haskell2010 |
Opaleye.Aggregate
Description
Perform aggregation on Selects. To aggregate a Select you
should construct an Aggregator encoding how you want the
aggregation to proceed, then call aggregate on it. The
Aggregator should be constructed from the basic Aggregators
below by using the combining operations from
Data.Profunctor.Product.
Synopsis
- aggregate :: Aggregator a b -> Select a -> Select b
- aggregateOrdered :: Order a -> Aggregator a b -> Select a -> Select b
- distinctAggregator :: Aggregator a b -> Aggregator a b
- data Aggregator a b
- groupBy :: Aggregator (Column a) (Column a)
- sum :: Aggregator (Column a) (Column a)
- sumInt4 :: Aggregator (Column SqlInt4) (Column SqlInt8)
- sumInt8 :: Aggregator (Column SqlInt8) (Column SqlNumeric)
- count :: Aggregator (Column a) (Column SqlInt8)
- countStar :: Aggregator a (Column SqlInt8)
- avg :: Aggregator (Column SqlFloat8) (Column SqlFloat8)
- max :: SqlOrd a => Aggregator (Column a) (Column a)
- min :: SqlOrd a => Aggregator (Column a) (Column a)
- boolOr :: Aggregator (Column SqlBool) (Column SqlBool)
- boolAnd :: Aggregator (Column SqlBool) (Column SqlBool)
- arrayAgg :: Aggregator (Column a) (Column (SqlArray a))
- jsonAgg :: Aggregator (Column a) (Column SqlJson)
- stringAgg :: Column SqlText -> Aggregator (Column SqlText) (Column SqlText)
- countRows :: Select a -> Select (Column SqlInt8)
Aggregation
aggregate :: Aggregator a b -> Select a -> Select b Source #
Given a Select producing rows of type a and an Aggregator accepting rows of
type a, apply the aggregator to the select.
If you simply want to count the number of rows in a query you might
find the countRows function more convenient.
If you want to use aggregate with SelectArrs then you should
compose it with laterally:
laterally.aggregate::Aggregatora b ->SelectArra b ->SelectArra b
Please note that when aggregating an empty query with no GROUP BY
clause, Opaleye's behaviour differs from Postgres's behaviour.
Postgres returns a single row whereas Opaleye returns zero rows.
Opaleye's behaviour is consistent with the meaning of aggregating
over groups of rows and Postgres's behaviour is inconsistent. When a
query has zero rows it has zero groups, and thus zero rows in the
result of an aggregation.
aggregateOrdered :: Order a -> Aggregator a b -> Select a -> Select b Source #
Order the values within each aggregation in Aggregator using
the given ordering. This is only relevant for aggregations that
depend on the order they get their elements, like arrayAgg and
stringAgg.
Note that this orders all aggregations with the same ordering. If
you need different orderings for different aggregations, use
orderAggregate.
distinctAggregator :: Aggregator a b -> Aggregator a b Source #
Aggregate only distinct values
data Aggregator a b Source #
An Aggregator takes a collection of rows of type a, groups
them, and transforms each group into a single row of type b. This
corresponds to aggregators using GROUP BY in SQL.
You should combine basic Aggregators into Aggregators on compound
types by using the operations in Data.Profunctor.Product.
An Aggregator corresponds closely to a Fold from the
foldl package. Whereas an Aggregator a b takes each group of
type a to a single row of type b, a Fold a b
takes a list of a and returns a single value of type b.
Instances
Basic Aggregators
groupBy :: Aggregator (Column a) (Column a) Source #
Group the aggregation by equality on the input to groupBy.
sumInt8 :: Aggregator (Column SqlInt8) (Column SqlNumeric) Source #
count :: Aggregator (Column a) (Column SqlInt8) Source #
Count the number of non-null rows in a group.
countStar :: Aggregator a (Column SqlInt8) Source #
Count the number of rows in a group. This Aggregator is named
countStar after SQL's COUNT(*) aggregation function.